<div class="content-intro"><p>PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform.</p> <p> </p></div><p><span style="font-size: 10pt;">PagerDuty is seeking a <strong>Forward Deployed Engineer (SRE Agent)</strong> to join our customer-focused SRE Agent team! As a <strong>Forward Deployed Engineer</strong>, you will work inside PagerDuty’s largest customer accounts, connecting the SRE Agent to their production environments (observability tools, infrastructure as code, GitOps tooling, and CI/CD pipelines) and guiding their teams from AI-assisted incident response to supervised and autonomous actions with safety guardrails. You will also contribute code directly back to the core SRE Agent product, building reusable tools, connectors, and skills derived from real customer needs.</span></p> <p><span style="font-size: 10pt;">This is an exciting opportunity to join the product engineering team as the Staff Engineer and directly shape how agentic AI operates within the most strategic customers. The ideal candidate brings a strong background as a software engineer, hands-on experience shipping LLM/agentic systems to production, and the customer-facing skills to bridge technical execution with business strategy.</span></p> <h4><span style="font-size: 10pt;"><strong>KEY RESPONSIBILITIES </strong></span></h4> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Embed and drive SRE Agent adoption:</strong> Work onsite and in regular contact with 2–4 strategic customer teams to deploy the SRE Agent, configure tools and connectors, and embed AI actions across their incident management lifecycle to drive adoption and value </span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Build and contribute core agent capabilities:</strong> Scope, design, and build reusable agent tools, connectors, and skills on the agent’s extensibility surfaces, shipping them through the product team's repos, review process, and evaluation gates.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Run pilots and unblock customer adoption:</strong> Stand up new agentic capabilities with strategic accounts first, gather eval data, identify technical blockers (permissions, telemetry, missing connectors), and build production fixes directly into the product.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Integrate with production stacks and progressive delivery:</strong> Connect the SRE Agent to IaC (Terraform, Pulumi), GitOps (ArgoCD), CI/CD pipelines, and observability platforms, guiding customers safely from AI-assisted to autonomous operations.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Set technical direction and feedback insights:</strong> Define 3–6 month technical roadmaps across assigned accounts, provide architectural guidance to product managers and engineering managers, and bring customer friction and eval data back to the core team.</span></li> </ul> <h4><span style="font-size: 10pt;"><strong>BASIC QUALIFICATIONS</strong></span></h4> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>8+ years</strong> of experience building and shipping production software across team boundaries (assessed against PagerDuty Staff Engineer / SDE V expectations).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Hands-on experience with LLM and agent systems</strong> in production, including agent development, tool-use frameworks (MCP or equivalent), evaluation pipelines, and guardrail design.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Customer-facing skills. </strong>You can run a technical design session with a customer’s engineers and present the business case to their leadership.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Comfortable with ambiguity. </strong>You can start from a vague problem statement in an unfamiliar environment and get to working software without much direction. Former founders and founding engineers tend to do well in this role.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>A record of shipping software that got adopted, </strong>and the judgment to recognize which customer requests generalize and when the right answer is not to build.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Infrastructure & Deployment expertise:</strong> Demonstrated experience with Terraform or Pulumi at scale, GitOps (ArgoCD or equivalent), CI/CD pipeline design, and progressive delivery patterns (canary, blue/green, soak periods).</span></li> &l